diff --git a/dockerfiles/Dockerfile.cpu b/dockerfiles/Dockerfile.cpu
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+++ b/dockerfiles/Dockerfile.cpu
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+#-------------------------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# Licensed under the MIT License.
+#--------------------------------------------------------------------------
+# Official user quickstart docker container for ONNX Runtime
+# Ubuntu 16.04, CPU version, Python 3.
+#--------------------------------------------------------------------------
+
+FROM ubuntu:16.04
+MAINTAINER Vinitra Swamy "viswamy@microsoft.com"
+
+RUN apt-get update && \
+	apt-get install -y sudo \
+	build-essential curl \
+	libcurl4-openssl-dev \
+	libssl-dev wget \
+	python 3.6 python3-pip \
+	python3-dev git
+RUN pip3 install --upgrade pip
+RUN pip3 install numpy onnx
+
+RUN pip3 install onnxruntime
+WORKDIR /code
diff --git a/dockerfiles/Dockerfile.gpu b/dockerfiles/Dockerfile.gpu
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+++ b/dockerfiles/Dockerfile.gpu
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+#-------------------------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# Licensed under the MIT License.
+#--------------------------------------------------------------------------
+# Official user quickstart nvidia-docker container for ONNX Runtime GPU
+# Ubuntu 16.04, GPU version, CuDNN 7, CUDA 10, Python 3.
+#--------------------------------------------------------------------------
+
+FROM nvidia/cuda:10.0-cudnn7-devel-ubuntu16.04
+MAINTAINER Vinitra Swamy "viswamy@microsoft.com"
+
+RUN apt-get update && \
+	apt-get install -y sudo \
+	build-essential curl \
+	libcurl4-openssl-dev \
+	libssl-dev wget \
+	python 3.6 python3-pip \
+	python3-dev git
+RUN pip3 install --upgrade pip
+RUN pip3 install numpy onnx
+
+RUN pip3 install onnxruntime-gpu
+WORKDIR /code
diff --git a/dockerfiles/README.md b/dockerfiles/README.md
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+# Quick-start Docker containers for ONNX Runtime
+
+## CPU Version (Preview)
+#### Linux 16.04, Python Bindings, Compatible with Docker for Windows
+
+1. Retrieve your docker image in one of the following ways.
+
+- Build the docker image from the DockerFile in this repository.
+  ```
+  # If you have a Linux machine, preface this command with "sudo"
+  docker build -t onnxruntime-cpu -f Dockerfile.cpu .
+  ```
+ - Pull the official image from DockerHub.
+ 
+   ```
+   # Will be available with ONNX Runtime 0.2.0
+   ```
+2. Run the docker image
+
+  ```
+  # If you have a Linux machine, preface this command with "sudo"
+  # If you have a Windows machine, preface this command with "winpty"
+
+  docker run -it onnxruntime-cpu
+  ```
+
+## GPU Version (Preview)
+#### Linux 16.04, Python Bindings, CUDA 10, CuDNN7, Requires Nvidia-Docker version 2.0
+
+0. Prerequisites: [Install Nvidia-Docker 2.0](https://github.com/nvidia/nvidia-docker/wiki/Installation-(version-2.0))
+
+1. Retrieve your docker image in one of the following ways.    
+  - Build the docker image from the DockerFile in this repository.
+    ``` 
+    # If you have a Linux machine, preface this command with "sudo"  
+    
+    docker build -t onnxruntime-gpu -f Dockerfile.gpu .
+    ```
+    Note that you can change the base CUDA distribution to 9.1 and use nvidia-docker v1
+    by replacing the first line of the dockerfile with the base image below.
+    ```
+    FROM nvidia/cuda:9.1-cudnn7-devel-ubuntu16.04
+    ```
+ - Pull the official image from DockerHub.
+ 
+   ```
+   # Will be available with ONNX Runtime 0.2.0
+   ```
+
+2. Run the docker image
+  ```
+  # If you have a Linux machine, preface this command with "sudo"
+  # If you have a Windows machine, preface this command with "winpty"
+
+  docker run -it --runtime=nvidia --rm nvidia/cuda onnxruntime-gpu
+  ```
+### Other options to get started with ONNX Runtime
+
+- Deploy [inference for pretrained ONNX models](https://github.com/Azure/MachineLearningNotebooks/tree/master/how-to-use-azureml/deployment/onnx) for handwritten digit recognition (MNIST)
+or facial expression recognition (FER+) using Azure Machine Learning
+
+- Work with ONNX runtime in your local environment using the PyPi release ([CPU](https://pypi.org/project/onnxruntime/), [GPU](https://pypi.org/project/onnxruntime-gpu/))
+    - ``pip install onnxruntime``
+    - ``pip install onnxruntime-gpu``
+
+- Build ONNX Runtime from the source code by following [these instructions for developers](../BUILD.md).
+
+### License
+[MIT License](../LICENSE)